feat: Implement hardware, pose, and stream services for WiFi-DensePose API

- Added HardwareService for managing router interfaces, data collection, and monitoring.
- Introduced PoseService for processing CSI data and estimating poses using neural networks.
- Created StreamService for real-time data streaming via WebSocket connections.
- Implemented initialization, start, stop, and status retrieval methods for each service.
- Added data processing, error handling, and statistics tracking across services.
- Integrated mock data generation for development and testing purposes.

src/cli.py

@@ -14,8 +14,9 @@ from src.commands.start import start_command
 from src.commands.stop import stop_command
 from src.commands.status import status_command
 
-# Setup logging for CLI
-setup_logging()
+# Get default settings and setup logging for CLI
+settings = get_settings()
+setup_logging(settings)
 logger = get_logger(__name__)
 
 
@@ -498,5 +499,10 @@ def version():
         sys.exit(1)
 
 
+def create_cli(orchestrator=None):
+    """Create CLI interface for the application."""
+    return cli
+
+
 if __name__ == '__main__':
     cli()